Convolutional Neural Network Courses
Convolutional Neural Network courses can help you learn image classification, object detection, and feature extraction techniques. You can build skills in optimizing neural network architectures, implementing data augmentation strategies, and fine-tuning models for specific tasks. Many courses introduce tools like TensorFlow and Keras, that support building and training CNNs, along with methods for evaluating model performance and deploying applications in fields such as computer vision and AI-driven solutions.
Popular Convolutional Neural Network Courses and Certifications
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Tensorflow, Artificial Neural Networks, Deep Learning, Transfer Learning, Network Architecture, Model Evaluation
Status: Free TrialJohns Hopkins University
Skills you'll gain: Responsible AI, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Model Deployment, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Transfer Learning, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Applied Machine Learning, Large Language Modeling, Supervised Learning, PyTorch (Machine Learning Library), Hugging Face, Artificial Intelligence, Model Evaluation, Embeddings, Machine Learning
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Autoencoders, Applied Machine Learning, Tensorflow, Transfer Learning, Model Evaluation, Computer Vision, Machine Learning, Supervised Learning, Machine Learning Algorithms, Regression Analysis, Algorithms
Status: Free TrialJohns Hopkins University
Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Model Evaluation, Algorithms, Supervised Learning, Linear Algebra, Performance Tuning
What brings you to Coursera today?
Status: NewStatus: PreviewSkills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)
Skills you'll gain: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning
Skills you'll gain: Convolutional Neural Networks, Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Model Evaluation, Google Cloud Platform, Cloud Computing, Scientific Visualization
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Artificial Neural Networks, Probability & Statistics, Bayesian Statistics, Probability Distribution, Deep Learning, Machine Learning, Supervised Learning, Statistical Methods, Data Preprocessing, Model Evaluation
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
Status: NewStatus: PreviewSkills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation
What brings you to Coursera today?
In summary, here are 10 of our most popular convolutional neural network courses
- Convolutional Neural Networks: DeepLearning.AI
- Foundations of Neural Networks: Johns Hopkins University
- Deep Learning: DeepLearning.AI
- Deep Learning with PyTorch: IBM
- Introduction to Deep Learning & Neural Networks with Keras: IBM
- Introduction to Neural Networks: Johns Hopkins University
- Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
- Visualizing Filters of a CNN using TensorFlow: Coursera
- Classify Images with TensorFlow Convolutional Neural Networks: Google Cloud
- Machine Learning with Neural Networks: Dartmouth College
